Literature DB >> 20624689

Views of patients with epilepsy on seizure prediction devices.

Andreas Schulze-Bonhage1, Francisco Sales, Kathrin Wagner, Rute Teotonio, Astrid Carius, Annette Schelle, Matthias Ihle.   

Abstract

Patients views on the relevance, performance requirements, and implementation of seizure prediction devices have so far not been evaluated in a standardized form. We here report views of outpatients with uncontrolled epilepsy from the epilepsy centers at Freiburg, Germany, and Coimbra, Portugal, based on a questionnaire. Interest in the development of methods for seizure prediction both for warning and for closed-loop interventions is high. High sensitivity of prediction is regarded as more important than specificity. Short prediction time windows are preferred, but the indication of seizure-prone periods is also considered worthwhile. Only a few patients are, however, willing to wear EEG electrodes for signal acquisition on a long-term basis. These data support the view that seizure prediction is of high interest to patients with uncontrolled epilepsy. Improvements in the performance of presently available prediction algorithms and technical improvements in EEG recording will, however, be necessary to meet patients requirements. Copyright 2010 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20624689     DOI: 10.1016/j.yebeh.2010.05.008

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  25 in total

Review 1.  Seizure detection: do current devices work? And when can they be useful?

Authors:  Xiuhe Zhao; Samden D Lhatoo
Journal:  Curr Neurol Neurosci Rep       Date:  2018-05-23       Impact factor: 5.081

Review 2.  Therapeutic devices for epilepsy.

Authors:  Robert S Fisher
Journal:  Ann Neurol       Date:  2012-02       Impact factor: 10.422

3.  Forecasting seizure risk in adults with focal epilepsy: a development and validation study.

Authors:  Timothée Proix; Wilson Truccolo; Marc G Leguia; Thomas K Tcheng; David King-Stephens; Vikram R Rao; Maxime O Baud
Journal:  Lancet Neurol       Date:  2020-12-17       Impact factor: 44.182

4.  Seizure forecasting using minimally invasive, ultra-long-term subcutaneous electroencephalography: Individualized intrapatient models.

Authors:  Pedro F Viana; Tal Pal Attia; Mona Nasseri; Jonas Duun-Henriksen; Andrea Biondi; Joel S Winston; Isabel Pavão Martins; Ewan S Nurse; Matthias Dümpelmann; Andreas Schulze-Bonhage; Dean R Freestone; Troels W Kjaer; Mark P Richardson; Benjamin H Brinkmann
Journal:  Epilepsia       Date:  2022-04-08       Impact factor: 6.740

Review 5.  Toward new paradigms of seizure detection.

Authors:  Devin K Binder; Sheryl R Haut
Journal:  Epilepsy Behav       Date:  2012-12-12       Impact factor: 2.937

6.  Seizure Forecasting and the Preictal State in Canine Epilepsy.

Authors:  Yogatheesan Varatharajah; Ravishankar K Iyer; Brent M Berry; Gregory A Worrell; Benjamin H Brinkmann
Journal:  Int J Neural Syst       Date:  2016-06-14       Impact factor: 5.866

7.  Identification of preseizure States in epilepsy: a data-driven approach for multichannel EEG recordings.

Authors:  Hinnerk Feldwisch-Drentrup; Matthäus Staniek; Andreas Schulze-Bonhage; Jens Timmer; Henning Dickten; Christian E Elger; Björn Schelter; Klaus Lehnertz
Journal:  Front Comput Neurosci       Date:  2011-07-07       Impact factor: 2.380

8.  Identifying seizure risk factors: A comparison of sleep, weather, and temporal features using a Bayesian forecast.

Authors:  Daniel E Payne; Katrina L Dell; Phillipa J Karoly; Vaclav Kremen; Vaclav Gerla; Levin Kuhlmann; Gregory A Worrell; Mark J Cook; David B Grayden; Dean R Freestone
Journal:  Epilepsia       Date:  2020-12-30       Impact factor: 6.740

9.  Semi-supervised Training Data Selection Improves Seizure Forecasting in Canines with Epilepsy.

Authors:  Mona Nasseri; Vaclav Kremen; Petr Nejedly; Inyong Kim; Su-Youne Chang; Hang Joon Jo; Hari Guragain; Nathaniel Nelson; Edward Patterson; Beverly K Sturges; Chelsea M Crowe; Tim Denison; Benjamin H Brinkmann; Gregory A Worrell
Journal:  Biomed Signal Process Control       Date:  2019-11-14       Impact factor: 3.880

Review 10.  Seizure Diaries and Forecasting With Wearables: Epilepsy Monitoring Outside the Clinic.

Authors:  Benjamin H Brinkmann; Philippa J Karoly; Ewan S Nurse; Sonya B Dumanis; Mona Nasseri; Pedro F Viana; Andreas Schulze-Bonhage; Dean R Freestone; Greg Worrell; Mark P Richardson; Mark J Cook
Journal:  Front Neurol       Date:  2021-07-13       Impact factor: 4.003

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.